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ZAGGL Michael

Doctorat français

Michael Zaggl is a Full Professor at NEOMA Business School. He received his Habilitation degree from Technical University of Munich, a PhD from Technical University of Hamburg, and his Master’s and Bachelor’s degrees from the University of Koblenz. Before joining NEOMA, Dr. Zaggl held a tenured position at Aarhus University in Denmark. He also held several visiting positions, among others, at Harvard University, Purdue, University of Southern California, and University of Göttingen. His research interests include distributed and digital innovation, crowdsourcing, technologically-enabled strategic search, and data-driven decision-making. His work has been published in Academy of Management Discoveries, Research Policy, and Strategic Management Journal, among others. He is a member of the Academy of Management, Association for Information Systems, and Deutscher Hochschulverband. Dr. Zaggl has worked extensively with organizations, managers, and consultants, both in the U.S. and in Europe.  

 

Domaines de spécialisation

  • Innovation numérique
  • crowdsourcing
  • développement de logiciels libres
  • coordination
  • équipes d'innovation

Récentes contributions académiques

  • ZAGGL, M., "The Experimenting Firm: Data-Driven Decision-Making Under Bounded Rationality" dans 83rd Academy of Management, 2023, Boston, États-Unis
  • ZAGGL, M., M. TWYMAN, Y. YANG, N. MUTHA, A. MAJCHRZAK, "The Data Science Gender Gap: Investigating Progression Rates in the Kaggle Online Community" dans 83rd Academy of Management, 2023, Boston, États-Unis
  • SCHWEISFURTH, T. G., C. P. SCHÖTTL, C. RAASCH, M. ZAGGL, "Distributed decision‐making in the shadow of hierarchy: How hierarchical similarity biases idea evaluation", Strategic Management Journal, Septembre 2023, vol. 44, no. 9, pp. 2255-2282
    DOI : 10.1002/smj.3497

Article

  • ZAGGL, M., A. ARVIND MALHOTRA, O. ALEXY, A. MAJCHRZAK, "Governing Crowdsourcing for Unconstrained Innovation Problems", Strategic Management Journal, Novembre 2023, vol. 44, no. 11, pp. 2783-2817
  • SCHWEISFURTH, T. G., C. P. SCHÖTTL, C. RAASCH, M. ZAGGL, "Distributed decision‐making in the shadow of hierarchy: How hierarchical similarity biases idea evaluation", Strategic Management Journal, Septembre 2023, vol. 44, no. 9, pp. 2255-2282
    DOI : 10.1002/smj.3497
  • LEE, J. "., H. PARK, M. ZAGGL, "When to Signal? Contingencies for Career-Motivated Contributions in Online Collaboration Communities", Journal of the Association for Information Systems, Janvier 2022, vol. 23, no. 6, pp. 1386-1419
    DOI : 10.17705/1jais.00765
  • ZAGGL, M., J. POTTBÄCKER, "Facilitators and inhibitors for integrating expertise diversity in innovation teams: The case of plasmid exchange in molecular biology", Research Policy, Novembre 2021, vol. 50, no. 9, pp. 104313
    DOI : 10.1016/j.respol.2021.104313
  • MAJCHRZAK, A., A. MALHOTRA, M. ZAGGL, "How Open Crowds Self-Organize", Academy of Management Discoveries, Mars 2021, vol. 7, no. 1, pp. 104-129
    DOI : 10.5465/amd.2018.0087
  • ZAGGL, M., T. G. SCHWEISFURTH, C. HERSTATT, "The Dynamics of Openness and the Role of User Communities: A Case Study in the Ecosystem of Open Source Gaming Handhelds", IEEE Transactions on Engineering Management, Août 2020, vol. 67, no. 3, pp. 712-723
    DOI : 10.1109/TEM.2019.2897900
  • ZAGGL, M., J. BLOCK, "Do small funding amounts lead to reverse herding? A field experiment in reward-based crowdfunding", Journal of Business Venturing Insights, Novembre 2019, vol. 12, pp. e00139
    DOI : 10.1016/j.jbvi.2019.e00139
  • ZAGGL, M., M. A. HAGENMAIER, C. RAASCH, "The choice between uniqueness and conformity in mass customization", R and D Management, Mars 2019, vol. 49, no. 2, pp. 204-221
    DOI : 10.1111/radm.12327
  • GREITEMANN, J., M. ZAGGL, M. HEHL, C. RAASCH, G. REINHART, "Technology lifecycle-oriented search for production technologies", CIRP Journal of Manufacturing Science and Technology, Janvier 2017, vol. 16, pp. 21-33
    DOI : 10.1016/j.cirpj.2016.08.001
  • ZAGGL, M., "Manipulation of explicit reputation in innovation and knowledge exchange communities: The example of referencing in science", Research Policy, Juin 2017, vol. 46, no. 5, pp. 970-983
    DOI : 10.1016/j.respol.2017.02.009
  • ZAGGL, M., "Eleven mechanisms for the evolution of cooperation", Journal of Institutional Economics, Juin 2014, vol. 10, no. 2, pp. 197-230
    DOI : 10.1017/S1744137413000374
  • ZAGGL, M., "Relative Performance Measurement of Researchers: The High Impact of Data Source Selection", Management@TUHH Research Paper Series , Janvier 2011, no. 5
  • MEYER, M., M. ZAGGL, K. M. CARLEY, "Measuring CMOT’s intellectual structure and its development", Computational & Mathematical Organization Theory, Mars 2011, vol. 17, no. 1, pp. 1-34
    DOI : 10.1007/s10588-010-9076-0

Chapitre d'ouvrage

  • ZAGGL, M., A. MAJCHRZAK, "Principles on how to manage interactions between human workers and artificial intelligence/machine learning technologies" dans Handbook of Virtual Work., Lucy Gilson, Thomas O’Neill, M. Maynard Eds, Edward Elgar Publishing, pp. 89-108, 2023
    DOI : 10.4337/9781802200508.00012
  • FREDERIKSEN, L., P. SMITH, C. BERGENHOLTZ, S. HILBOLLING, M. BERETTA, O. VUCULESCU, M. ZAGGL, H. ALSTED SØNDERGAARD, "Extending the use of Crowds for Innovation? Fund it Yourself!" dans The Oxford Handbook of Open Innovation., Henry Chesbrough, Agnieszka Radziwon, Wim Vanhaverbeke, Joel West Eds, Oxford University Press, pp. 357-370, 2023
    DOI : 10.1093/oxfordhb/9780192899798.013.21
  • PREISSNER, S., C. RAASCH, M. ZAGGL, "Nutzer und Hersteller im Lebenszyklus disruptiver Produkt- und Service Innovationen" dans Innovationsprozesse Zyklenorientiert Managen., B. Vogel-Heuser, U. Lindemann and G. Reinhart Eds, Springer Verlag, pp. 220-230, 2015
  • HAGENMAIER, M. A., S. PREISSNER, C. RAASCH, M. ZAGGL, "Die Integration des Kunden in den Innovationsprozess: Eine Untersuchung zu Mass Customization von Produkt- Service Systemen" dans Innova­tions­prozesse zyklenorientiert managen - Verzahnte Entwicklung von Produkt-Service Systemen., B. Vogel-Heuser, U. Lindemann, G. Reinhart Eds, Springer Verlag, pp. 207–219, 2015
  • WALDKIRCH, R. W., M. MEYER, M. ZAGGL, "Beyond Publication Counts – The Impact of Citations and Combined Metrics on the Performance Measurement of German Business Researchers" dans Performance Management im Hochschulbereich., Alexander Dilger, Harald Dyckhoff, Günter Fandel Eds, Springer Fachmedien Wiesbaden, pp. 61-86, 2013
    DOI : 10.1007/978-3-658-03348-4_4

Academic conferences

  • ZAGGL, M., "The Experimenting Firm: Data-Driven Decision-Making Under Bounded Rationality" dans 83rd Academy of Management, 2023, Boston, États-Unis
  • ZAGGL, M., M. TWYMAN, Y. YANG, N. MUTHA, A. MAJCHRZAK, "The Data Science Gender Gap: Investigating Progression Rates in the Kaggle Online Community" dans 83rd Academy of Management, 2023, Boston, États-Unis
  • ZAGGL, M., M. WURZER, K. KLYVER, C. BERGENHOLTZ, "External Venture Idea Evaluation and Venture Idea Revisions? The Role of Opportunity Confidence" dans 83rd Academy of Management, 2023, Boston, États-Unis
  • FREDERIKSEN, L., M. RIVATO, M. ZAGGL, "Crowdfunding for Science: Knowledge Production and Career Trajectories of Individuals Seeking Crowdfunding for Their Research" dans DRUID, 2023
  • ZAGGL, M., "The Perceptual Firm: On the Effectiveness of Business Experiments for Creating Business Value" dans Jubiläumstagung des Verbands der Hochschullehrer für Betriebswirtschaft, 2022, Düsseldorf (virtual), Allemagne
  • ZAGGL, M., A. MAJCHRZAK, J. GIBBS, P. MORE, "Does Member Familiarity in Innovation Task Forces Help or Hinder Sustainable Innovation? The Roles of Expertise vs Dialogic Coordination" dans 82nd Academy of Management, 2022, Seattle, États-Unis
  • ZAGGL, M., J. GIBBS, L. GILSON, T. GRIFFITH, T. MAYNARD, ET AL., "Understanding Virtual Work, PDW" dans 82nd Academy of Management, 2022, Seattle, États-Unis
  • ZAGGL, M., J. RAFNER, C. BANTLE, D. DELLERMANN, M. SÖLLNER, J. SHERSON, "Towards Hybrid Intelligence Workflows: Integrating Interface Design and Scalable deployment" dans Hybrid Human Artificial Intelligence (HHAI), 2022, Amsterdam, Pays-Bas
  • PALMER, S., A. FAGE-BUTLER, M. ZAGGL, "Explainability and Trust-Related Biases" dans Building Appropriate Trust in Human-AI Interactions, 2022, Coimbra, Portugal
  • ZAGGL, M., M. RIVATO, "Status versus Reputation as Motivation in Online Communities" dans 56th Hawaii International Conference on System Sciences (HICSS), 2022
  • ZAGGL, M., M. RIVATO, L. FREDERIKSEN, "Crowdfunding of Science: Career Trajectories and Performance of Individuals Seeking Crowdfunding Funding for Their Research Projects" dans Open Innovation in Science (OIS) Research Conference, 2022, Genève, Suisse
  • ZAGGL, M., "How Business Experiments Create Business Value" dans Conference on Artificial Intelligence, Machine Learning, and Business Analytics, 2021, Philadelphia (virtual conference)
  • ZAGGL, M., M. WURZER, C. BERGENHOLTZ, K. NYGAARD, "Opportunity confidence and idea revision effort" dans Babson College Entrepreneurship Research Conference, 2021
  • ZAGGL, M., Y. SUN, A. MAJCHRZAK, A. MALHOTRA, "Integrative Solutions in Online Crowdsourcing Innovation Challenges" dans 54th Hawaii International Conference on System Sciences (HICSS), 2021
  • ZAGGL, M., "When to Signal? The Contextual Conditions for Career-Motivated User Contributions in Online Collaboration Communities" dans 54th Hawaii International Conference on System Sciences (HICSS), 2021
  • ZAGGL, M., J. WISSEL, A. LINDBERG, "Control vs Freedom: How Companies Manage Knowledge Sharing with Open Source Software Communities." dans 52nd Hawaii International Conference on System Sciences (HICSS), 2020
  • ZAGGL, M., M. MUELLER, "Why Can't You See What I Can? Reputation Allocation for Solitary Innovators and Fluid Teams" dans 80th Academy of Management, 2020, Vancouver(virtual conference), Canada
  • ZAGGL, M., J. WISSEL, F. NAGLE, "Open Source Software Development and Organizations" dans 79th Academy of Management -Selected as Showcase Symposium, 2019, Boston, États-Unis
  • WISSEL, J., M. ZAGGL, A. LINDBERG, "Control vs Freedom: How Companies Manage Knowledge Sharing with Open Source Software Communities" dans Proceedings of the 40th International Conference on Information Systems, 2019
  • ZAGGL, M., J. WISSEL, "Control vs Freedom: How Companies Manage Knowledge Sharing with Open Source Software Communities" dans 17th Open and User Innovation Conference, 2019, Utrecht University School of Economics, Pays-Bas
  • ZAGGL, M., "Opportunity Selection in Self-Managing Organizations: The Limits of Crowds" dans Proceedings of the 39th International Conference on Information Systems, 2018
  • ZAGGL, M., T. G. SCHWEISFURTH, C. P. SCHÖTTL, C. RAASCH, "Hierarchical Distance and Idea Evaluation in Enterprise Crowdfunding" dans Proceedings of the 39th International Conference on Information Systems, 2018